Metadata-Version: 2.1
Name: napari-segment-everything
Version: 0.1.1
Summary: A Napari SAM plugin to segment everything in your image (not just some things)
Home-page: https://github.com/True-North-Intelligent-Algorithms/napari-segment-everything
Author: Brian Northan
Author-email: bnorthan@gmail.com
License: BSD-3-Clause
Classifier: Development Status :: 2 - Pre-Alpha
Classifier: Framework :: napari
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: BSD License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3 :: Only
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Topic :: Scientific/Engineering :: Image Processing
Requires-Python: >=3.8
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: numpy
Requires-Dist: torch
Requires-Dist: torchvision
Requires-Dist: segment-anything
Requires-Dist: magicgui
Requires-Dist: qtpy
Requires-Dist: scikit-image
Requires-Dist: napari
Provides-Extra: testing
Requires-Dist: tox; extra == "testing"
Requires-Dist: pytest; extra == "testing"
Requires-Dist: pytest-cov; extra == "testing"
Requires-Dist: pytest-qt; extra == "testing"
Requires-Dist: napari; extra == "testing"
Requires-Dist: pyqt5; extra == "testing"

# napari-segment-everything

[![License BSD-3](https://img.shields.io/pypi/l/napari-segment-everything.svg?color=green)](https://github.com/True-North-Intelligent-Algorithms/napari-segment-everything/raw/main/LICENSE)
[![PyPI](https://img.shields.io/pypi/v/napari-segment-everything.svg?color=green)](https://pypi.org/project/napari-segment-everything)
[![Python Version](https://img.shields.io/pypi/pyversions/napari-segment-everything.svg?color=green)](https://python.org)
[![tests](https://github.com/True-North-Intelligent-Algorithms/napari-segment-everything/workflows/tests/badge.svg)](https://github.com/True-North-Intelligent-Algorithms/napari-segment-everything/actions)
[![codecov](https://codecov.io/gh/True-North-Intelligent-Algorithms/napari-segment-everything/branch/main/graph/badge.svg)](https://codecov.io/gh/True-North-Intelligent-Algorithms/napari-segment-everything)
[![napari hub](https://img.shields.io/endpoint?url=https://api.napari-hub.org/shields/napari-segment-everything)](https://napari-hub.org/plugins/napari-segment-everything)

A Napari SAM plugin to segment everything in your image (not just some things)

----------------------------------

This [napari] plugin was generated with [Cookiecutter] using [@napari]'s [cookiecutter-napari-plugin] template.

<!--
Don't miss the full getting started guide to set up your new package:
https://github.com/napari/cookiecutter-napari-plugin#getting-started

and review the napari docs for plugin developers:
https://napari.org/stable/plugins/index.html
-->

## Installation

You can install `napari-segment-everything` via [pip]:

    pip install napari-segment-everything




## Contributing

Contributions are very welcome. Tests can be run with [tox], please ensure
the coverage at least stays the same before you submit a pull request.

## License

Distributed under the terms of the [BSD-3] license,
"napari-segment-everything" is free and open source software

## Issues

If you encounter any problems, please [file an issue] along with a detailed description.

[napari]: https://github.com/napari/napari
[Cookiecutter]: https://github.com/audreyr/cookiecutter
[@napari]: https://github.com/napari
[MIT]: http://opensource.org/licenses/MIT
[BSD-3]: http://opensource.org/licenses/BSD-3-Clause
[GNU GPL v3.0]: http://www.gnu.org/licenses/gpl-3.0.txt
[GNU LGPL v3.0]: http://www.gnu.org/licenses/lgpl-3.0.txt
[Apache Software License 2.0]: http://www.apache.org/licenses/LICENSE-2.0
[Mozilla Public License 2.0]: https://www.mozilla.org/media/MPL/2.0/index.txt
[cookiecutter-napari-plugin]: https://github.com/napari/cookiecutter-napari-plugin

[napari]: https://github.com/napari/napari
[tox]: https://tox.readthedocs.io/en/latest/
[pip]: https://pypi.org/project/pip/
[PyPI]: https://pypi.org/
